A Synchronous Optimization Model for Multiship Shuttle Tanker Fleet Design and Scheduling Considering Hard Time Window Constraint

A Synchronous Optimization for Multiship Shuttle Tanker Fleet Design and Scheduling is solved in the context of development of floating production storage and offloading device (FPSO). In this paper, the shuttle tanker fleet scheduling problem is considered as a vehicle routing problem with hard tim...

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Main Authors: Zhenfeng Jiang, Dongxu Chen, Zhongzhen Yang
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2018/1904340
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author Zhenfeng Jiang
Dongxu Chen
Zhongzhen Yang
author_facet Zhenfeng Jiang
Dongxu Chen
Zhongzhen Yang
author_sort Zhenfeng Jiang
collection DOAJ
description A Synchronous Optimization for Multiship Shuttle Tanker Fleet Design and Scheduling is solved in the context of development of floating production storage and offloading device (FPSO). In this paper, the shuttle tanker fleet scheduling problem is considered as a vehicle routing problem with hard time window constraints. A mixed integer programming model aiming at minimizing total transportation cost is proposed to model this problem. To solve this model, we propose an exact algorithm based on the column generation and perform numerical experiments. The experiment results show that the proposed model and algorithm can effectively solve the problem.
format Article
id doaj-art-9851d5f9547c492db8a470e7deb14699
institution Kabale University
issn 0197-6729
2042-3195
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-9851d5f9547c492db8a470e7deb146992025-02-03T01:25:59ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/19043401904340A Synchronous Optimization Model for Multiship Shuttle Tanker Fleet Design and Scheduling Considering Hard Time Window ConstraintZhenfeng Jiang0Dongxu Chen1Zhongzhen Yang2College of Transport Engineering, Dalian Maritime University, Dalian 116026, ChinaCollege of Transport Engineering, Dalian Maritime University, Dalian 116026, ChinaFaculty of Maritime and Transportation, Ningbo University, Ningbo 315211, ChinaA Synchronous Optimization for Multiship Shuttle Tanker Fleet Design and Scheduling is solved in the context of development of floating production storage and offloading device (FPSO). In this paper, the shuttle tanker fleet scheduling problem is considered as a vehicle routing problem with hard time window constraints. A mixed integer programming model aiming at minimizing total transportation cost is proposed to model this problem. To solve this model, we propose an exact algorithm based on the column generation and perform numerical experiments. The experiment results show that the proposed model and algorithm can effectively solve the problem.http://dx.doi.org/10.1155/2018/1904340
spellingShingle Zhenfeng Jiang
Dongxu Chen
Zhongzhen Yang
A Synchronous Optimization Model for Multiship Shuttle Tanker Fleet Design and Scheduling Considering Hard Time Window Constraint
Journal of Advanced Transportation
title A Synchronous Optimization Model for Multiship Shuttle Tanker Fleet Design and Scheduling Considering Hard Time Window Constraint
title_full A Synchronous Optimization Model for Multiship Shuttle Tanker Fleet Design and Scheduling Considering Hard Time Window Constraint
title_fullStr A Synchronous Optimization Model for Multiship Shuttle Tanker Fleet Design and Scheduling Considering Hard Time Window Constraint
title_full_unstemmed A Synchronous Optimization Model for Multiship Shuttle Tanker Fleet Design and Scheduling Considering Hard Time Window Constraint
title_short A Synchronous Optimization Model for Multiship Shuttle Tanker Fleet Design and Scheduling Considering Hard Time Window Constraint
title_sort synchronous optimization model for multiship shuttle tanker fleet design and scheduling considering hard time window constraint
url http://dx.doi.org/10.1155/2018/1904340
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